In this paper, we consider the problem of adaptive traffic control on single junctions with the three following objectives to be minimized: the total waiting time and the number of stops for private vehicles, and a public transport criterion. This problem being modeled as a multi-objective mixed...

A multiobjective binary integer programming model for R&D project portfolio selection with competing objectives is developed when problem coefficients in both objective functions and constraints are uncertain. Robust optimization is used in dealing with uncertainty while an interactive procedure...

One approach for solving decision problems involving multiple objectives is interactive optimization. Methods based on this approach assess the decision maker's preference structure interactively, typically based on pairwise comparisons and tradeoffs, and guide the search process toward...

In this paper, we propose a new interactive procedure for solving multiple objective programming problems. Based upon feed-forward artificial neural networks (FFANNs), the method is called the Interactive FFANN Procedure. In the procedure, the decision maker articulates preference information...

Uncertainty presents unique difficulties in multiobjective optimization problems, because decision makers are faced with risky situations requiring analysis of multiple outcomes in differing states of nature. Very few direct choice (interactive) multiobjective methods are capable of addressing...